| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: HuggingFaceTB/SmolLM2-135M |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: SmolLM2-NewArgs |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # SmolLM2-NewArgs |
| |
|
| | This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.1243 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0003 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 2 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.1837 | 0.16 | 200 | 3.2231 | |
| | | 2.212 | 0.32 | 400 | 3.1906 | |
| | | 2.1925 | 0.48 | 600 | 3.1144 | |
| | | 2.157 | 0.64 | 800 | 3.0551 | |
| | | 2.0288 | 0.8 | 1000 | 3.0355 | |
| | | 1.9743 | 0.96 | 1200 | 2.9745 | |
| | | 1.348 | 1.12 | 1400 | 3.1598 | |
| | | 1.1199 | 1.28 | 1600 | 3.1587 | |
| | | 1.0924 | 1.44 | 1800 | 3.1218 | |
| | | 1.065 | 1.6 | 2000 | 3.1331 | |
| | | 1.053 | 1.76 | 2200 | 3.1213 | |
| | | 1.0264 | 1.92 | 2400 | 3.1243 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.0 |
| | |
